HIERARCHICAL LINEAR MODELS by Stephen W. Raudenbush, Anthony S. Bryk ( 9780761919049 )

Item Details

Title:

HIERARCHICAL LINEAR MODELS
APPLICATIONS AND DATA ANALYSIS METHODS

By:

Stephen W. Raudenbush, Anthony S. Bryk

Format:

Hardback

List price:

£114.00

Our price:

£102.60

Discount:

10% off

You save:

£11.40

ISBN 10:

076191904X

ISBN 13:

9780761919049

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Publisher:

SAGE PUBLICATIONS INC

Pub. date:

19 December, 2001

Edition:

2nd Revised edition

Series:

Advanced Quantitative Techniques in the Social Sciences

Pages:

512

Description:

Popular in the First Edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been reorganized into four parts with four completely new chapters. The first two parts, Part I on "The Logic of Hierarchical Linear Modeling" and Part II on "Basic Applications" closely parallel the first nine chapters of the previous edition with significant expansions and technical clarifications, such as: * An intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication in Chapter 3* New section on multivariate growth models in Chapter 6 * A discussion of research synthesis or meta-analysis applications in Chapter 7* Data analytic advice on centering of level-1 predictors and new material on plausible value intervals and robust standard estimators

Synopsis:

Popular in its first edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been updated to include: an intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication; a new section on multivariate growth models; a discussion of research synthesis or meta-analysis applications; aata analytic advice on centering of level-1 predictors, and new material on plausible value intervals and robust standard estimators.

Publication:

Imprint:

SAGE Publications Inc

Returns:

Returnable

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